• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

放射治疗实践中患者定位辅助系统。

Assistance systems for patient positioning in radiotherapy practice.

作者信息

Müller-Polyzou Ralf, Reuter-Oppermann Melanie, Feger Jasmin, Meier Nicolas, Georgiadis Anthimos

机构信息

Faculty of Management and Technology, Leuphana University, Lüneburg, Germany.

Faculty of Health, Medicine and Life Sciences, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands.

出版信息

Health Syst (Basingstoke). 2024 Oct 28;13(4):332-360. doi: 10.1080/20476965.2024.2395567. eCollection 2024.

DOI:10.1080/20476965.2024.2395567
PMID:39678037
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11639305/
Abstract

Effective radiotherapy for cancer treatment requires precise and reproducible positioning of patients at linear accelerators. Assistance systems in digitally networked radiotherapy can help involved specialists perform these tasks more efficiently and accurately. This paper analyses patient positioning systems and develops new knowledge by applying the Design Science Research methodology. A systematic literature review ensures the rigour of the research. Furthermore, this article presents the results of an online survey on assistance systems for patient positioning, the derived design requirements and an artefact in the form of a conceptual model of a patient positioning system. Both the systematic literature review and the online survey serve as empirical evidence for the conceptual model. This paper thereby contributes to broadening the academic knowledge on patient positioning in radiotherapy and provides guidance to system designers.

摘要

癌症治疗的有效放射疗法需要患者在直线加速器上进行精确且可重复的定位。数字化网络放射治疗中的辅助系统可帮助相关专家更高效、准确地完成这些任务。本文运用设计科学研究方法分析患者定位系统并开发新知识。系统的文献综述确保了研究的严谨性。此外，本文还展示了一项关于患者定位辅助系统的在线调查结果、得出的设计要求以及一个以患者定位系统概念模型形式呈现的人工制品。系统文献综述和在线调查均作为概念模型的实证依据。本文由此有助于拓宽放射治疗中患者定位的学术知识，并为系统设计者提供指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e24/11639305/2d2943db197a/THSS_A_2395567_F0013_B.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e24/11639305/fcf361d8e37b/THSS_A_2395567_F0001_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e24/11639305/57c8a1d575c0/THSS_A_2395567_F0002_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e24/11639305/3a03489570ed/THSS_A_2395567_F0003_B.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e24/11639305/07ff05f9563c/THSS_A_2395567_F0004_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e24/11639305/05eac663ae36/THSS_A_2395567_F0005_B.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e24/11639305/a1f3a5d29ffa/THSS_A_2395567_F0006_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e24/11639305/5948f42d8178/THSS_A_2395567_F0007_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e24/11639305/a3ef82ada8cc/THSS_A_2395567_F0008_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e24/11639305/96d1d8aeaf23/THSS_A_2395567_F0009_B.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e24/11639305/6c39fb856c47/THSS_A_2395567_F0010_B.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e24/11639305/2110369af756/THSS_A_2395567_F0011_B.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e24/11639305/f55eb369bb37/THSS_A_2395567_F0012_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e24/11639305/2d2943db197a/THSS_A_2395567_F0013_B.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e24/11639305/fcf361d8e37b/THSS_A_2395567_F0001_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e24/11639305/57c8a1d575c0/THSS_A_2395567_F0002_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e24/11639305/3a03489570ed/THSS_A_2395567_F0003_B.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e24/11639305/07ff05f9563c/THSS_A_2395567_F0004_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e24/11639305/05eac663ae36/THSS_A_2395567_F0005_B.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e24/11639305/a1f3a5d29ffa/THSS_A_2395567_F0006_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e24/11639305/5948f42d8178/THSS_A_2395567_F0007_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e24/11639305/a3ef82ada8cc/THSS_A_2395567_F0008_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e24/11639305/96d1d8aeaf23/THSS_A_2395567_F0009_B.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e24/11639305/6c39fb856c47/THSS_A_2395567_F0010_B.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e24/11639305/2110369af756/THSS_A_2395567_F0011_B.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e24/11639305/f55eb369bb37/THSS_A_2395567_F0012_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e24/11639305/2d2943db197a/THSS_A_2395567_F0013_B.jpg

相似文献

1
Assistance systems for patient positioning in radiotherapy practice.放射治疗实践中患者定位辅助系统。
Health Syst (Basingstoke). 2024 Oct 28;13(4):332-360. doi: 10.1080/20476965.2024.2395567. eCollection 2024.
2
Identifying user assistance systems for radiotherapy to increase efficiency and help saving lives.识别用于放射治疗的用户辅助系统，以提高效率并助力挽救生命。
Health Syst (Basingstoke). 2020 Aug 30;10(4):318-336. doi: 10.1080/20476965.2020.1803148. eCollection 2021.
3
Study protocol: Optimising patient positioning for the planning of accelerated partial breast radiotherapy for the integrated magnetic resonance linear accelerator: OPRAH MRL.研究方案：优化适形调强加速部分乳腺放疗中综合磁共振直线加速器患者体位的研究：OPRAH MRL。
Radiat Oncol. 2024 Sep 17;19(1):123. doi: 10.1186/s13014-024-02517-3.
4
Elekta Precise Table characteristics of IGRT remote table positioning.医科达精确治疗床IGRT远程治疗床定位的特点
Acta Oncol. 2009;48(2):267-70. doi: 10.1080/02841860802311007.
5
Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.在流行地区，服用抗叶酸抗疟药物的人群中，叶酸补充剂与疟疾易感性和严重程度的关系。
Cochrane Database Syst Rev. 2022 Feb 1;2(2022):CD014217. doi: 10.1002/14651858.CD014217.
6
Analysis of precision in tumor tracking based on optical positioning system during radiotherapy.基于光学定位系统的放疗期间肿瘤追踪精度分析
J Xray Sci Technol. 2016 Mar 19;24(3):443-55. doi: 10.3233/XST-160562.
7
Patient positioning and immobilization procedures for hybrid MR-Linac systems.混合 MR-Linac 系统的患者定位和固定程序。
Radiat Oncol. 2021 Sep 20;16(1):183. doi: 10.1186/s13014-021-01910-6.
8
Innovative integration of augmented reality and optical surface imaging: A coarse-to-precise system for radiotherapy positioning.创新的增强现实和光学表面成像集成：用于放射治疗定位的粗到精系统。
Med Phys. 2023 Jul;50(7):4505-4520. doi: 10.1002/mp.16417. Epub 2023 Apr 15.
9
Immobilisation accuracy of double shell positioning system for stereotactic radiotherapy in patients with brain tumors.脑肿瘤患者立体定向放射治疗中双壳定位系统的固定精度
J Med Imaging Radiat Sci. 2025 Mar;56(2):101817. doi: 10.1016/j.jmir.2024.101817. Epub 2024 Dec 13.
10
[First experiences with a noninvasive patient set-up system for radiotherapy of the prostate].[前列腺癌放射治疗无创患者定位系统的首次经验]
Strahlenther Onkol. 2000 May;176(5):217-22. doi: 10.1007/s000660050003.

本文引用的文献

1
Keeping pace with the healthcare transformation: a literature review and research agenda for a new decade of health information systems research.紧跟医疗保健变革步伐：健康信息系统研究新十年的文献综述与研究议程
Electron Mark. 2021;31(4):901-921. doi: 10.1007/s12525-021-00484-1. Epub 2021 Jul 17.
2
Identifying user assistance systems for radiotherapy to increase efficiency and help saving lives.识别用于放射治疗的用户辅助系统，以提高效率并助力挽救生命。
Health Syst (Basingstoke). 2020 Aug 30;10(4):318-336. doi: 10.1080/20476965.2020.1803148. eCollection 2021.
3
Artificial intelligence in radiation oncology: A review of its current status and potential application for the radiotherapy workforce.
人工智能在放射肿瘤学中的应用：综述其现状及其在放射治疗队伍中的潜在应用。
Radiography (Lond). 2021 Oct;27 Suppl 1:S63-S68. doi: 10.1016/j.radi.2021.07.012. Epub 2021 Sep 4.
4
Machine learning applications in radiation oncology.机器学习在放射肿瘤学中的应用。
Phys Imaging Radiat Oncol. 2021 Jun 24;19:13-24. doi: 10.1016/j.phro.2021.05.007. eCollection 2021 Jul.
5
CT-Based Collision Prediction Software for External-Beam Radiation Therapy.用于外照射放射治疗的基于CT的碰撞预测软件。
Front Oncol. 2021 Mar 11;11:617007. doi: 10.3389/fonc.2021.617007. eCollection 2021.
6
Clinical paradigms and challenges in surface guided radiation therapy: Where do we go from here?表面引导放射治疗的临床范例和挑战：我们从何处开始？
Radiother Oncol. 2020 Dec;153:34-42. doi: 10.1016/j.radonc.2020.09.041. Epub 2020 Sep 26.
7
Informed Consent in Radiation Oncology.放射肿瘤学中的知情同意
Int J Radiat Oncol Biol Phys. 2021 Jan 1;109(1):29-35. doi: 10.1016/j.ijrobp.2020.08.064. Epub 2020 Sep 7.
8
A collision prediction framework for noncoplanar radiotherapy planning and delivery.一种用于非共面放射治疗计划和实施的碰撞预测框架。
J Appl Clin Med Phys. 2020 Aug;21(8):92-106. doi: 10.1002/acm2.12920. Epub 2020 Jun 19.
9
A practical method for predicting patient-specific collision in radiotherapy.一种用于预测放疗中个体化碰撞的实用方法。
J Appl Clin Med Phys. 2020 Aug;21(8):65-72. doi: 10.1002/acm2.12915. Epub 2020 May 28.
10
A survey of surface imaging use in radiation oncology in the United States.美国放射肿瘤学中表面成像应用的调查。
J Appl Clin Med Phys. 2019 Dec;20(12):70-77. doi: 10.1002/acm2.12762. Epub 2019 Nov 19.